Brookings on Networks
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A Brookings Institution commentary providing a framework for understanding how international AI governance institutions and networks can be structured to coordinate global AI policy, relevant to those studying AI governance architectures and multilateral coordination challenges.
Metadata
Summary
This Brookings Institution commentary examines the emerging landscape of global AI governance, analyzing how international policy networks and institutions are forming to coordinate AI regulation. It maps the functions of key nodes in these governance networks and discusses how this architecture can expand AI opportunities while managing risks.
Key Points
- •Analyzes the fragmented landscape of global AI governance and the need for coordinated international policy frameworks
- •Examines the functions of emerging governance networks and institutional nodes (e.g., OECD, G7, UN bodies) in shaping AI policy
- •Argues for a network-based architecture approach rather than a single global regulatory body for AI governance
- •Discusses how governance networks can balance AI risk management with expanding access to AI opportunities globally
- •Co-authored by policy experts from Brookings, CEPS, and OECD, reflecting a transatlantic perspective on AI coordination
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| International Compute Regimes | Concept | 67.0 |
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Network architecture for global AI policy | Brookings
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Network architecture for global AI policy
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Commentary
Network architecture for global AI policy
Cameron F. Kerry ,
Cameron F. Kerry
Ann R. and Andrew H. Tisch Distinguished Visiting Fellow
- Governance Studies , Center for Technology Innovation (CTI)
Joshua P. Meltzer ,
Joshua P. Meltzer
Senior Fellow
- Global Economy and Development
Andrea Renda , and
Andrea Renda
Senior Research Fellow and Head of Global Governance, Regulation, Innovation and the Digital Economy (GRID)
- Center for European Policy Studies (CEPS)
Andrew W. Wyckoff
Andrew W. Wyckoff
Nonresident Senior Fellow
- Governance Studies , Center for Technology Innovation (CTI)
February 10, 2025
Networked and distributed forms of AI governance will remain the singular form of international cooperation that can respond to the rapid pace at which AI is developing.
Rather than consolidating global AI governance, efforts should focus on expanding the distributed global landscape to ensure that the international AI governance functions are being fulfilled in ways that involve the largest number of stakeholders needed to deliver an effective outcome.
Development of AI standards in global standards bodies is a key aspect of AI governance where broadening access for governments, industry, and civil society, especially in low- and middle-income countries, is needed to strengthen the legitimacy of these standards and ensure that the resulting standards respond to differing
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